Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "137"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 137 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 23 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 21 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])]) 

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 137, Node N07:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459838 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.457927 -0.450554 12.596780 5.246500 5.068760 7.689074 -0.768105 -0.028885 0.7472 0.7185 0.4166 0.000000 0.000000
2459836 RF_maintenance - 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.6986 0.6077 0.4390 nan nan
2459835 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.981373 5.662762 11.023864 8.230705 20.905781 55.697424 -4.910455 2.021261 0.7931 0.4979 0.5825 nan nan
2459833 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 16.746938 19.295406 43.675101 37.296141 203.014815 288.211100 13.629661 24.770367 0.8043 0.4799 0.5873 nan nan
2459832 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.393076 0.466526 10.500774 4.843067 5.829039 4.505292 -0.334483 0.059918 0.8161 0.5449 0.5795 4.345109 3.337515
2459831 RF_maintenance 100.00% 100.00% 44.89% 0.00% - - 0.211426 3.305664 19.645622 20.107325 2.451236 1.781269 1.429380 -0.314960 0.1368 0.2673 0.0763 nan nan
2459830 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.323896 0.329481 14.644436 2.585410 14.618307 9.289838 -2.042536 2.803394 0.8159 0.5598 0.5576 8.440643 6.158060
2459829 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.120143 -0.681242 14.942373 -0.548944 12.623561 45.063343 1.446221 9.958486 0.7574 0.6674 0.4191 0.000000 0.000000
2459828 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.925575 4.600172 18.618027 9.476191 30.841597 6.647719 -0.209175 -2.154293 0.7890 0.5646 0.5312 3.582583 3.095136
2459827 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.690163 2.892330 30.930034 16.148202 20.356436 2.160348 -2.708302 -1.612549 0.7311 0.6628 0.4356 5.792979 5.130745
2459826 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.771131 6.747419 24.817210 16.036975 40.838561 10.070244 0.322144 1.583744 0.7732 0.5299 0.5397 3.328310 2.459322
2459825 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.079293 11.514746 19.152879 15.864766 22.749394 14.074417 -0.912488 -1.068595 0.7804 0.5506 0.5294 3.856257 3.343532
2459824 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.854069 4.770393 26.972228 22.278677 7.505943 4.339083 -2.282638 -2.049028 0.6900 0.7205 0.3974 4.542329 4.567891
2459823 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 19.256452 15.228876 20.833688 18.238692 27.638700 24.750522 14.786747 11.335449 0.7396 0.6219 0.4912 3.780346 3.995202
2459822 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.681755 13.972495 23.238947 20.146229 26.018190 18.959964 -0.279821 -0.394298 0.7649 0.5470 0.5392 3.687310 3.108239
2459821 RF_maintenance 100.00% 34.95% 100.00% 0.00% 100.00% 0.00% 23.226057 28.873454 14.656253 38.481437 22.639165 25.859016 1.063325 -0.602923 0.4196 0.0445 0.2181 3.318695 1.288779
2459820 RF_maintenance 100.00% 63.37% 100.00% 0.00% 100.00% 0.00% 26.091695 24.094179 10.568169 30.521271 38.820540 69.694544 26.249844 7.275945 0.3602 0.0518 0.1973 2.841444 1.234537
2459817 RF_maintenance 100.00% 67.74% 100.00% 0.00% 100.00% 0.00% 20.917403 56.059754 19.171206 36.262767 34.841354 37.495307 0.198837 1.840740 0.4045 0.0674 0.2173 3.749730 1.335641
2459816 RF_maintenance 100.00% 25.94% 100.00% 0.00% 100.00% 0.00% 14.534489 39.947192 28.710872 36.386551 44.390695 48.282402 -4.090170 9.162276 0.4295 0.0658 0.2573 4.063054 1.345583
2459815 RF_maintenance 100.00% 54.30% 100.00% 0.00% 100.00% 0.00% 20.196463 29.462108 21.680279 40.867496 45.356908 48.390769 6.691674 13.923821 0.4415 0.0558 0.2720 3.512073 1.292756
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 30.791901 33.602669 24.451008 25.267891 84.149978 85.783047 7.603676 11.908807 0.0369 0.0473 0.0062 0.844629 0.849194

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 137: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Power 12.596780 -0.450554 2.457927 5.246500 12.596780 7.689074 5.068760 -0.028885 -0.768105

Antenna 137: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Temporal Variability 55.697424 5.662762 4.981373 8.230705 11.023864 55.697424 20.905781 2.021261 -4.910455

Antenna 137: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Temporal Variability 288.211100 19.295406 16.746938 37.296141 43.675101 288.211100 203.014815 24.770367 13.629661

Antenna 137: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Power 10.500774 6.393076 0.466526 10.500774 4.843067 5.829039 4.505292 -0.334483 0.059918

Antenna 137: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Power 20.107325 0.211426 3.305664 19.645622 20.107325 2.451236 1.781269 1.429380 -0.314960

Antenna 137: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Power 14.644436 8.323896 0.329481 14.644436 2.585410 14.618307 9.289838 -2.042536 2.803394

Antenna 137: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Temporal Variability 45.063343 -0.681242 7.120143 -0.548944 14.942373 45.063343 12.623561 9.958486 1.446221

Antenna 137: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Temporal Variability 30.841597 4.600172 14.925575 9.476191 18.618027 6.647719 30.841597 -2.154293 -0.209175

Antenna 137: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Power 30.930034 11.690163 2.892330 30.930034 16.148202 20.356436 2.160348 -2.708302 -1.612549

Antenna 137: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Temporal Variability 40.838561 6.747419 14.771131 16.036975 24.817210 10.070244 40.838561 1.583744 0.322144

Antenna 137: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Temporal Variability 22.749394 11.514746 16.079293 15.864766 19.152879 14.074417 22.749394 -1.068595 -0.912488

Antenna 137: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Power 26.972228 8.854069 4.770393 26.972228 22.278677 7.505943 4.339083 -2.282638 -2.049028

Antenna 137: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Temporal Variability 27.638700 15.228876 19.256452 18.238692 20.833688 24.750522 27.638700 11.335449 14.786747

Antenna 137: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance ee Temporal Variability 26.018190 17.681755 13.972495 23.238947 20.146229 26.018190 18.959964 -0.279821 -0.394298

Antenna 137: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Power 38.481437 28.873454 23.226057 38.481437 14.656253 25.859016 22.639165 -0.602923 1.063325

Antenna 137: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Temporal Variability 69.694544 26.091695 24.094179 10.568169 30.521271 38.820540 69.694544 26.249844 7.275945

Antenna 137: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Shape 56.059754 20.917403 56.059754 19.171206 36.262767 34.841354 37.495307 0.198837 1.840740

Antenna 137: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Temporal Variability 48.282402 39.947192 14.534489 36.386551 28.710872 48.282402 44.390695 9.162276 -4.090170

Antenna 137: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Temporal Variability 48.390769 29.462108 20.196463 40.867496 21.680279 48.390769 45.356908 13.923821 6.691674

Antenna 137: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 137: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
137 N07 RF_maintenance nn Temporal Variability 85.783047 33.602669 30.791901 25.267891 24.451008 85.783047 84.149978 11.908807 7.603676

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